Ming Wu
Impact in
- Biophysics top 1%
- Spectroscopy Techniques in Biomedical and Chemical Research
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
Papers in
-
- Inflammasome and immune disorders 7
- Surgery 20
- Co-authors
- Shan Song (12 shared papers)Haijiang Wu (10 shared papers)Richard A. Keller (5 shared papers)Peter M. Goodwin (5 shared papers)Chunyang Du (10 shared papers)W. Patrick Ambrose (3 shared papers)Huijun Duan (9 shared papers)Philip M. Johnson (7 shared papers)
- Journals
- The Journal of Chemical Physics (11 papers)Journal of Controlled Release (5 papers)Biochemical and Biophysical Research Communications (4 papers)Applied Spectroscopy (3 papers)Frontiers in Pharmacology (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ming Wu
172 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 166
- Biophysics 287
- Nephrology 300
- Biomaterials 402
- Clinical Biochemistry 137
- Transplantation 38
Countries citing papers authored by Ming Wu
This map shows the geographic impact of Ming Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wu more than expected).
Fields of papers citing papers by Ming Wu
This network shows the impact of papers produced by Ming Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming Wu. The network helps show where Ming Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 187 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 188 | |
| 2 | 2018 | 161 | |
| 3 | 2013 | 159 | |
| 4 | 2021 | 147 | |
| 5 | 2022 | 107 | |
| 6 | 2015 | 106 | |
| 7 | 2020 | 101 | |
| 8 | 2000 | 87 | |
| 9 | 2018 | 78 | |
| 10 | 2018 | 74 | |
| 11 | 2001 | 70 | |
| 12 | 1996 | 66 | |
| 13 | 2015 | 60 | |
| 14 | 2019 | 57 | |
| 15 | 2022 | 49 | |
| 16 | 2015 | 48 | |
| 17 | 2010 | 47 | |
| 18 | 1994 | 45 | |
| 19 | 2020 | 45 | |
| 20 | 2000 | 45 |
About Ming Wu
Ming Wu is a scholar working on Molecular Biology, Surgery, Epidemiology, Atomic and Molecular Physics, and Optics and Biomaterials, having authored 187 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (12 papers), Nanoparticle-Based Drug Delivery (11 papers), Sepsis Diagnosis and Treatment (9 papers), Spectroscopy and Laser Applications (8 papers), Thermoregulation and physiological responses (7 papers), Inflammasome and immune disorders (7 papers), Climate Change and Health Impacts (6 papers) and Nanoplatforms for cancer theranostics (6 papers). The work is most often cited by research in Biophysics (287 citations), Nephrology (300 citations), Biomaterials (402 citations), Clinical Biochemistry (137 citations) and Transplantation (38 citations). Ming Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Shan Song, Haijiang Wu, Richard A. Keller, Peter M. Goodwin, Chunyang Du, W. Patrick Ambrose, Huijun Duan, Philip M. Johnson, Yonghong Shi and Trevor J. Sears. Their work appears in journals such as The Journal of Chemical Physics, Journal of Controlled Release, Biochemical and Biophysical Research Communications, Applied Spectroscopy and Frontiers in Pharmacology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.